Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| College Students | 2 |
| Loan Default | 2 |
| Predictor Variables | 2 |
| Community Colleges | 1 |
| Credit (Finance) | 1 |
| Enrollment | 1 |
| Higher Education | 1 |
| Loan Repayment | 1 |
| Money Management | 1 |
| Program Administration | 1 |
| Student Financial Aid | 1 |
| More ▼ | |
Author
| Boerner, Heather | 1 |
| Ehlert, Mark | 1 |
| Monroe, Ryan | 1 |
| Podgursky, Michael | 1 |
| Watson, Donald | 1 |
| Wittstruck, John | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Two Year Colleges | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBoerner, Heather – Community College Journal, 2014
The U.S. Department of Education estimates that 20 percent of community college students default on their student loan obligations (compared with 14.7 percent of all student loan borrowers), and that number is rising. What can community college financial officers do to keep their default numbers low? In this article, Heather Boerner describes the…
Descriptors: Loan Default, Community Colleges, College Students, Student Financial Aid Officers
PDF pending restorationPodgursky, Michael; Ehlert, Mark; Monroe, Ryan; Watson, Donald; Wittstruck, John – Journal of Student Financial Aid, 2002
Provides a model of student loan defaults using a panel data file. Identifies a variety of individual variables associated with loan defaults; however, researchers found that the variable with the largest effect on default is continuous enrollment. Students who are continuously enrolled or complete their programs are far less likely to default…
Descriptors: College Students, Enrollment, Higher Education, Loan Default
